Artificial intelligence algorithms require big amounts of information. The methods utilized to obtain this data have raised issues about personal privacy, security and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, constantly gather individual details, raising concerns about invasive information gathering and unapproved gain access to by 3rd parties. The loss of privacy is more worsened by AI's ability to procedure and integrate large quantities of information, possibly causing a security society where specific activities are continuously kept an eye on and examined without adequate safeguards or openness.

Sensitive user data collected may consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to construct speech recognition algorithms, Amazon has actually recorded millions of personal discussions and enabled short-term employees to listen to and transcribe some of them. [205] Opinions about this widespread surveillance range from those who see it as a necessary evil to those for whom it is plainly dishonest and a violation of the right to personal privacy. [206]
AI developers argue that this is the only method to provide valuable applications and have actually developed a number of strategies that try to maintain personal privacy while still obtaining the information, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have actually begun to see privacy in terms of fairness. Brian Christian composed that experts have pivoted "from the question of 'what they know' to the question of 'what they're doing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code